3.8(a) Multiple Linear Regression for Margules Equations  |POLVER05_ |4
10  10 
x1	gamma1	gamma2	x2=1 - x1	g=x1 * ln(gamma1) + x2 * ln(gamma2)	X1=x1 * x2 ^ 2	X2=x1 ^ 2 * x2	gam1calc=exp(x2 ^ 2 * (2 * 0.46092 - 0.25112) + 2 * x2 ^ 3 * (0.25112 - 0.46092))	gam2calc=exp(x1 ^ 2 * (2 * 0.25112 - 0.46092) + 2 * x1 ^ 3 * (0.46092 - 0.25112))	sumterm=(gamma1 - gam1calc) ^ 2 + (gamma2 - gam2calc) ^ 2
0.0464	1.2968	0.9985	0.9536	0.0106279	0.042194	0.0020531	1.278978	1.000131	0.0003203
0.0861	1.2798	0.9998	0.9139	0.0210584	0.0719119	0.0067749	1.271139	1.000574	7.562E-05
0.2004	1.2358	1.0068	0.7996	0.0478473	0.1281278	0.0321121	1.239017	1.005049	1.342E-05
0.2792	1.1988	1.0159	0.7208	0.0619954	0.1450591	0.0561883	1.210867	1.01243	0.0001577
0.3842	1.1598	1.0359	0.6158	0.0786764	0.1456923	0.090898	1.169247	1.030347	0.0001201
0.4857	1.1196	1.0676	0.5143	0.0885122	0.1284698	0.1213257	1.127867	1.059529	0.0001335
0.5824	1.0838	1.1096	0.4176	0.0902979	0.1015646	0.1416456	1.090252	1.101756	0.0001032
0.6904	1.0538	1.1664	0.3096	0.0838331	0.0661763	0.1475715	1.053205	1.170906	2.065E-05
0.7842	1.0311	1.2401	0.2158	0.0704555	0.0365199	0.1327104	1.027387	1.255792	0.00026
0.8972	1.0078	1.4038	0.1028	0.041839	0.0094815	0.0827507	1.006654	1.399764	1.76E-05
*
g=A*x1*x2^2+B*x1^2*x2
A=1	B=1